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在妊娠糖尿病中进行长度整合性无细胞DNA分析

Zhuangyuan Tang¹, Shuo Wang², Xi Li³

¹College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China; BGI Research, Shenzhen 518083, China.

Cell reports. Medicine

|July 26, 2024

概括

高深度无细胞DNA (cfDNA) 测序揭示了与妊娠期间妊娠糖尿病 (GDM) 相关的明显模式. 这种方法有助于早期GDM预测和理解其分子基础.

科学领域:

基因组学和分子生物学
生殖医学生殖医学
生物标志物发现发现

背景情况:

孕期糖尿病 (GDM) 是一种复杂的妊娠并发症,具有多种不同的临床表现.
了解GDM病原体,并使早期预测成为临床的关键挑战.

研究的目的:

调查高深度无细胞DNA (cfDNA) 测序对GDM特征和预测的有用性.
在整个怀孕期间识别与GDM相关的cfDNA签名.

主要方法:

在299例GDM病例和299例对照中分析cfDNA片段特征.
将cfDNA数据与脂质组和单细胞转录组资料集成.
使用cfDNA签名开发和验证神经网络模型.

主要成果:

在GDM患者中发现了明显的cfDNA片段特征.
通过综合数据分析,改变的脂质代谢过程与GDM有关.
基于转录开始地点 (TSS) 的cfDNA签名有效地分辨了GDM病例.
鉴定出PRSS1基因是潜在的GDM生物标志物.
开发的神经网络模型在独立队列中证明了GDM的预测准确性.

结论:

高深度cfDNA测序为早期GDM预测和表征提供了一个有前途的工具.
这种方法为GDM背后的分子机制提供了洞察力.
cfDNA分析,特别是关注PRSS1,有可能在GDM管理中获得临床应用.

关键词:

这就是PRSS1的原因.没有细胞的DNA DNA.孕期糖尿病孕期糖尿病怀孕的动态怀孕的动态

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